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Disambiguation of "Rahmim, Arman"

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Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features.

, , , , , , , , , , , , and . CoRR, (2022)

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Michael Armann

Beate Arman

Alexandre Armand

Rüdiger Armann

Arman Barimani

 

Other publications of authors with the same name

Generative Adversarial Networks for Anomaly Detection in Biomedical Imaging: A Study on Seven Medical Image Datasets., , , , , , and . IEEE Access, (2023)An Analysis Scheme for Investigation of Effects of Various Parameters on Signals in Acoustic-Resolution Photoacoustic Microscopy of Mice Brain: a Simulation Study., , and . CoRR, (2018)Fusion-based tensor radiomics using reproducible features: Application to survival prediction in head and neck cancer., , , and . Comput. Methods Programs Biomed., (October 2023)Convolutional neural network with a hybrid loss function for fully automated segmentation of lymphoma lesions in FDG PET images., , , , , , , , , and 2 other author(s). Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features., , , , , , , , , and 3 other author(s). CoRR, (2022)Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks., , , , , , and . CoRR, (2022)Radiomics analysis of baseline F-FDG PET/CT images for improved prognosis in nasopharyngeal carcinoma., , , , , , , and . ISBI, page 835-838. IEEE, (2018)Ultrasound Tomosynthesis: A New Paradigm for Quantitative Imaging of the Prostate., , , , , , , , , and . MICCAI (1), volume 9900 of Lecture Notes in Computer Science, page 577-584. (2016)Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks., , , , , , and . HECKTOR@MICCAI, volume 13209 of Lecture Notes in Computer Science, page 236-247. Springer, (2021)Observer study-based evaluation of TGAN architecture used to generate oncological PET images., , , , , , , , , and 2 other author(s). Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 12467 of SPIE Proceedings, SPIE, (2023)